找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Advances in Wireless Sensor Networks; 7th China Conference Limin Sun,Huadong Ma,Feng Hong Conference proceedings 2014 The Editor(s) (if app

[復(fù)制鏈接]
樓主: 短暫
51#
發(fā)表于 2025-3-30 11:27:37 | 只看該作者
https://doi.org/10.1057/9780230625747h unidirectional links. However, there exist few studies on the strongly connected dominating and absorbing sets in wireless networks. In this paper, we propose an addition-based localized heuristic algorithm for constructing a SCDAS in a wireless network. The algorithm can obtain a small SCDAS with
52#
發(fā)表于 2025-3-30 15:31:00 | 只看該作者
https://doi.org/10.1057/9780230625747assification accuracy while minimizing the energy consumption. This paper utilizes the theory of distributed random projection and joint sparse representation to develop a simultaneous dimension reduction and classification approach for multi-sensor activity recognition in BSNs. Both temporal and sp
53#
發(fā)表于 2025-3-30 18:57:02 | 只看該作者
54#
發(fā)表于 2025-3-30 21:02:09 | 只看該作者
55#
發(fā)表于 2025-3-31 04:31:52 | 只看該作者
Conclusion: Germ Theory and Afterg to the traditional logical clustering theory. In this architecture, the cluster headers eliminate the negative effects of the current and improve the stability of the underwater sensor networks by drawing cluster nodes to do circular motion through cluster cables. This wired communication inside c
56#
發(fā)表于 2025-3-31 05:13:47 | 只看該作者
https://doi.org/10.1007/978-3-031-14167-6y various factors such as social relationships, historic social interests and users’ private attributes. However, few publications systematically study the problem of social interest inferring in a real mobile network. In this work, we study the extent to which one’s social interest can be inferred
57#
發(fā)表于 2025-3-31 12:23:09 | 只看該作者
58#
發(fā)表于 2025-3-31 16:29:04 | 只看該作者
Consumption and Well-Being, An Introduction,proposed a Slot-Divide Round Protocol Based on CSMA Neighbor Discover (SDRBC). The protocol could reduce the unnecessary transmission and improve the channel utilization efficiency. The performance of SDRBC is simulated with OMNET++, the results indicate that the SDRBC reduces more than 30 percent t
59#
發(fā)表于 2025-3-31 21:14:25 | 只看該作者
Consumption and Well-Being, An Introduction,gestion control algorithm based on multi-priority data for opportunistic routing. By means of introducing the node queue model of multi-priority data and studying the next-hop node selection strategy based on the traditional opportunistic routing, the new algorithm CEDOP working on the multi-priorit
60#
發(fā)表于 2025-3-31 23:32:38 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-16 10:53
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
嵩明县| 永宁县| 顺昌县| 云龙县| 田东县| 泾源县| 深水埗区| 扎赉特旗| 灵川县| 鹿邑县| 沾化县| 绥滨县| 六安市| 法库县| 建瓯市| 涟水县| 内丘县| 四川省| 抚远县| 平江县| 喀喇| 峡江县| 锡林郭勒盟| 九江市| 剑阁县| 赤峰市| 信丰县| 津市市| 望城县| 新营市| 阿拉尔市| 枣阳市| 大方县| 比如县| 麻城市| 鞍山市| 德令哈市| 双峰县| 台北县| 绥阳县| 湖口县|